Machine　Learning　has　gradually　become　a　hot　industry,　widely　used　for　data　mining,　computer　vision,　natural　language　processing,　biometric　recognition,　search　engine,　medical　diagnosis　and　so　on.　Due　to　the　complex　processing　processes　and　various　methods　of　machine　learning,　it　often　takes　a　lot　of　time　in　practical　applications.　For　this　problem,　an　easy-to-use　assembling　tool　and　a　runtime　engine　for　the　machine　learning　process　is　of　great　benefit.　In　this　paper,　we　propose　a　component-based　assembling　tool　and　a　runtime　engine　that　can　be　used　to　quickly　build　self-executing　machine　learning　processes　and　monitor　process　execution.　First　of　all,　we　introduce　the　algorithm　components,　which　includes　many　machine　learning　methods.　Then,　we　present　the　assembling　tool.　The　purpose　of　the　assembling　tool　is　the　layout,　which　is　the　design　phase　of　the　process.　After　that,　we　introduce　the　runtime　engine.　The　engine　is　responsible　for　executing　the　designed　process,　which　is　the　running　phase　of　the　process.　Finally,　we　evaluate　and　discuss　how　to　use　this　tool　to　speed　up　the　efficiency　of　machine　learning　processing.　©　2018　IEEE.